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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Platform Data Engr - **Company:** Cognizant - **Location:** Navalcarnero, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Encodings, Data Security, Python (Programming Language), OpenAI, Software Deployment, Software Engineering, Management of Software Versions, Working Model 2D, Pinecone, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Hallucination Detection, Llamaindex, Generative AI, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Build Management, Information Technology, Weaviate, Machine Learning Operations, FAISS, GPT, OpenSearch - **Published:** October 12, 2026 - **Apply:** https://www.jobleads.com/es/job/genai-platform-data-engr--navalcarnero--ea699904203e585dc1e8656fb2cded3d4 ## About the Role * 5+ years of experience in software engineering, with significant hands-on experience building Generative AI / LLM-based solutions in production. * Expert-level Python skills, including experience with modern GenAI frameworks (LangChain, LlamaIndex or equivalent). * Deep understanding of LLM concepts: RAG architectures, embeddings, prompt engineering, fine-tuning and evaluation methodologies. * Hands-on experience integrating LLM providers (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI) into production systems. * Experience with vector databases (Pinecone, OpenSearch, FAISS, Weaviate) and embedding optimization. * Solid cloud experience (AWS, Azure or GCP) for deploying and scaling AI workloads. * Strong understanding of data security, privacy and regulatory considerations relevant to the banking / financial sector. * Proven ability to lead technical initiatives and mentor engineering teams. * Fluent English. NICE TO HAVE * Experience designing multi-agent or agentic AI workflows. * Familiarity with AI observability tools (Langfuse, Weights & Biases, Helicone). * Prior experience in banking, financial services or other highly regulated industries. * Experience with MLOps practices and model governance frameworks., * Degree in Computer Science, Software Engineering, AI/ML or a related field. Preferred Certifications * AWS, Azure or GCP ML/AI certifications, a plus. ## Description As a Senior / Lead GenAI Engineer, you will design, build and scale production-grade Generative AI solutions for a leading company in the banking sector, taking technical ownership from architecture through deployment, in a fully remote role. Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply. About The Role We are looking for a Senior / Lead GenAI Engineer with deep, hands-on expertise in Python and Large Language Models to design, build and scale Generative AI solutions for a leading banking sector client. In this role, you will take technical ownership of GenAI initiatives end-to-end - from architecture and prototyping through to secure, compliant production deployment - while mentoring engineers and partnering with business, risk and compliance stakeholders to ensure solutions meet the standards of a highly regulated environment. Key Responsibilities GenAI Solution Design & Delivery * Design, build and deploy production-grade Generative AI solutions (RAG pipelines, conversational assistants, multi-agent systems) using Python and modern LLM frameworks. * Lead prompt engineering, chain-of-thought orchestration, structured output parsing, guardrails and evaluation pipelines for LLM-based applications. * Architect and own RAG pipelines end-to-end: document ingestion, chunking, embeddings, vector store management and retrieval optimization. Platform & MLOps * Deploy and operate GenAI applications on cloud infrastructure (AWS, Azure or GCP), with a focus on scalability, security and cost optimization. * Implement evaluation and monitoring frameworks for AI systems: response quality, latency, hallucination detection and feedback loops. * Define MLOps practices for LLM-based systems: versioning, automated evaluation and production monitoring. Leadership & Stakeholder Management * Act as technical lead for GenAI initiatives, mentoring engineers and setting technical direction. * Translate business requirements from banking stakeholders (risk, compliance, customer experience) into robust technical solutions. * Partner with architecture, security and compliance teams to ensure GenAI solutions meet the regulatory standards of the banking sector. Required Skills & Experience * 5+ years of experience in software engineering, with significant hands-on experience building Generative AI / LLM-based solutions in production. * Expert-level Python skills, including experience with modern GenAI frameworks (LangChain, LlamaIndex or equivalent). * Deep understanding of LLM concepts: RAG architectures, embeddings, prompt engineering, fine-tuning and evaluation methodologies. * Hands-on experience integrating LLM providers (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI) into production systems. * Experience with vector databases (Pinecone, OpenSearch, FAISS, Weaviate) and embedding optimization. * Solid cloud experience (AWS, Azure or GCP) for deploying and scaling AI workloads. * Strong understanding of data security, privacy and regulatory considerations relevant to the banking / financial sector. * Proven ability to lead technical initiatives and mentor engineering teams. * Fluent English. NICE TO HAVE * Experience designing multi-agent or agentic AI workflows. * Familiarity with AI observability tools (Langfuse, Weights & Biases, Helicone). * Prior experience in banking, financial services or other highly regulated industries. * Experience with MLOps practices and model governance frameworks. EDUCATION * Degree in Computer Science, Software Engineering, AI/ML or a related field. Preferred Certifications * AWS, Azure or GCP ML/AI certifications, a plus. WORKING MODEL Fully remote